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Proceedings, Volume 59, 2020

OpenSky 2020 - 15 articles

8th OpenSky Symposium 2020

Online| 12–13 November 2020

Volume Editors:
Xavier Olive, Université de Toulouse, France
Enrico Spinielli, Eurocontrol, Belgium
Rainer Koelle, Eurocontrol, Belgium

Cover Story: Since its launch in 2013, the OpenSky Network has quickly evolved to a large-scale air traffic control data collection and sharing platform. With now more than 1000 sensors operated by volunteers across the globe and more than 8000 users, the OpenSky Network is today contributing greatly toward the vision of a more efficient, secure, and reliable operation of the airspace by providing open accessibility of air traffic control data to the public. The symposium, currently in its 8th edition, serves as a forum to discuss new ideas, the network itself, and research activities around the OpenSky Network. The main topics and sessions of the conference cover: air traffic management, performance models, environmental and societal issues, and multilateration.
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Articles (15)

  • Proceeding Paper
  • Open Access
1 Citations
3,240 Views
9 Pages

To support integration of unmanned aerial systems into the airspace, the low altitude airspace needs to be characterized. Identifying the frequency of different aircraft types, such as rotorcraft or fixed wing single engine, given criteria such as al...

  • Proceeding Paper
  • Open Access
4 Citations
3,921 Views
10 Pages

Validating Aircraft Noise Models

  • Ran Giladi and
  • Eliav Menachi

Aircraft noise, especially at takeoffs and landings, became a major environmental nuisance and a health hazard for the population around metropolitan airports. In the battle for a better quality of life, wellbeing, and health, aircraft noise models a...

  • Proceeding Paper
  • Open Access
5 Citations
3,786 Views
10 Pages

Noise annoyance due to aircraft operations extends well beyond the 55 Lden noise contours as calculated according to the Environmental Noise Directive (END). Noise mapping beyond these contours will improve the understanding of the perception, annoya...

  • Proceeding Paper
  • Open Access
13 Citations
4,998 Views
10 Pages

Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications

  • Juan Zuluaga-Gomez,
  • Karel Veselý,
  • Alexander Blatt,
  • Petr Motlicek and ,
  • Dietrich Klakow,
  • Allan Tart,
  • Igor Szöke,
  • Amrutha Prasad,
  • Saeed Sarfjoo and
  • Fabian Landis
  • + 11 authors+ 6 authors

Voice communication is the main channel to exchange information between pilots and Air-Traffic Controllers (ATCos). Recently, several projects have explored the employment of speech recognition technology to automatically extract spoken key informati...

  • Proceeding Paper
  • Open Access
4 Citations
4,341 Views
8 Pages

Crowdsourced data have played an increasing role in research in the sciences over the past decades. From their early instantiations in the 1990s to the search for extraterrestrial intelligence, the concepts of crowdsourcing and citizen science have g...

  • Proceeding Paper
  • Open Access
8 Citations
4,640 Views
11 Pages

In this paper, we present an aircraft localization solution developed in the context of the Aircraft Localization Competition and applied to the OpenSky Network real-world ADS-B data. The developed solution is based on a combination of machine learni...

  • Proceeding Paper
  • Open Access
5 Citations
3,436 Views
10 Pages

Using Open Source Data for Landing Time Prediction with Machine Learning Methods

  • Gong Chen,
  • Judith Rosenow,
  • Michael Schultz and
  • Ostap Okhrin

Increasing demands on a highly efficient air traffic management system go hand in hand with increasing requirements for predicting the aircraft’s future position. In this context, the airport collaborative decision-making framework provides a s...

  • Proceeding Paper
  • Open Access
3 Citations
3,727 Views
12 Pages

Predicting Airplane Go-Arounds Using Machine Learning and Open-Source Data

  • Benoit Figuet,
  • Raphael Monstein,
  • Manuel Waltert and
  • Steven Barry

Go-arounds (GAs) are standard air traffic control procedures during which aircraft approach a runway but do not land. The incidence of a GA can subsequently affect the workload of flight crews and air traffic controllers, and might impact an airport...

  • Proceeding Paper
  • Open Access
9 Citations
3,590 Views
11 Pages

On ADS-B Sensor Placement for Secure Wide-Area Multilateration

  • Ala’ Darabseh,
  • Evangelos Bitsikas,
  • Brice Tedongmo and
  • Christina Pöpper

As automatic dependent surveillance–broadcast (ADS-B) becomes more prevalent, the placement of on-ground sensors is vital for Air Traffic Control (ATC) to control the airspace. However, the current sensors are placed in an unstructured way that...

  • Proceeding Paper
  • Open Access
5 Citations
5,841 Views
9 Pages

Mode S Transponder Comm-B Capabilities in Current Operational Aircraft

  • Junzi Sun,
  • Huy Vû,
  • Xavier Olive and
  • Jacco M. Hoekstra

Mode S surveillance allows air traffic controllers to interrogate certain information from aircraft, such as airspeeds, turn parameters, target altitudes, and meteorological conditions. However, not all aircraft have enabled the same capabilities. Be...

  • Proceeding Paper
  • Open Access
13 Citations
4,506 Views
10 Pages

Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches

  • Xavier Olive,
  • Junzi Sun,
  • Adrien Lafage and
  • Luis Basora

The large amount of aircraft trajectory data publicly available through open data sources like the OpenSky Network presents a wide range of possibilities for monitoring and post-operational analysis of air traffic performance. This contribution addre...

  • Proceeding Paper
  • Open Access
24 Citations
4,272 Views
10 Pages

Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function

  • Samantha J. Corrado,
  • Tejas G. Puranik,
  • Oliva J. Pinon and
  • Dimitri N. Mavris

To support efforts to modernize aviation systems to be safer and more efficient, high-precision trajectory prediction and robust anomaly detection methods are required. The terminal airspace is identified as the most critical airspace for individual...

  • Proceeding Paper
  • Open Access
3 Citations
2,911 Views
10 Pages

Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data

  • Antoine Chevrot,
  • Alexandre Vernotte,
  • Pierre Bernabe,
  • Aymeric Cretin and ,
  • Fabien Peureux and
  • Bruno Legeard
  • + 1 author+ 0 author

Major transportation surveillance protocols have not been specified with cyber security in mind and therefore provide no encryption nor identification. These issues expose air and sea transport to false data injection attacks (FDIAs), in which an att...

  • Proceeding Paper
  • Open Access
10 Citations
4,988 Views
11 Pages

There is a growing dependence of critical and safety-of-life systems on the Global Navigation Satellite System (GNSS). GNSS interference events can cause severe impacts on aircraft safety, including unavailability of GNSS-based landing services. Ther...

  • Proceeding Paper
  • Open Access
2,630 Views
8 Pages

Integrating the OpenSky Network into GNSS-R Climate Monitoring Research

  • Mike Laverick,
  • Delwyn Moller,
  • Christopher Ruf,
  • Stephen Musko and ,
  • Andrew O’Brien,
  • Ryan Linnabary,
  • Wayne Thomas,
  • Chris Seal and
  • Yvette Wharton
  • + 4 authors+ 0 author

Global Navigation Satellite System Reflectometry (GNSS-R) provides a unique means of inferring geophysical conditions of the Earth’s surface without the need for costly, and often infeasible, in-situ climate monitoring systems. As part of NASA&...

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Proceedings - ISSN 2504-3900